docstr: Proposes the most suitable preset for current data
  
  :param preset: predefined preset
  :param timer: ApiTime object
  :param n_jobs: n_jobs parameter
docstr_tok: ["Proposes","the","most","suitable","preset","for","current","data",":","param","preset",":","predefined","preset",":","param","timer",":","ApiTime","object",":","param","n_jobs",":","n_jobs","parameter"]
code: def propose_preset(
      self, preset: Union[str, None], timer: ApiTime, n_jobs: int
  ) -> str:
      """
      Proposes the most suitable preset for current data
  
      :param preset: predefined preset
      :param timer: ApiTime object
      :param n_jobs: n_jobs parameter
  
      """
      if not preset or preset == "auto":
          preset = change_preset_based_on_initial_fit(timer, n_jobs)
          self.log.message(
              f"Preset was changed to {preset} due to fit time estimation for initial model."
          )
      return preset
  
file_path: FEDOT/fedot/api/api_utils/assumptions/assumptions_handler.py
imports: import traceback
  from typing import List, Optional, Union
  from golem.core.log import default_log
  from fedot.api.api_utils.assumptions.assumptions_builder import AssumptionsBuilder
  from fedot.api.api_utils.presets import change_preset_based_on_initial_fit
  from fedot.api.time import ApiTime
  from fedot.core.caching.pipelines_cache import OperationsCache
  from fedot.core.caching.preprocessing_cache import PreprocessingCache
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.utilities.memory import MemoryAnalytics
label_desc: Use image node_id 5 for calling the AssumptionsHandler obj's underlying member method code with example usage: obj.propose_preset(preset, timer, n_jobs) and returns: preset